The Efficient Way To Manage Data Migration

Planning is the most crucial piece of a migration. Every migration needs a certain amount of strategic digital transformation of the data moving from the source repository to the destination. Considerations should include mapping metadata, folder structure, search capabilities, and many other components that will help users to find pertinent data. It’s critical that you invest the time to document the problems you’re having and what is needed to resolve them.

Why Do Migrations Fail?

There are many reasons for this, most of which center around not planning. While most organizations share the same desire to access data efficiently, they frequently vary on how they arrive there. There are numerous locations that you can leverage when referring to data cataloging, but without a solid plan in place, these programs can fail to function properly. Be sure you’ve thought it through carefully before migrating.

Wave has been performing enterprise migrations and providing advisement services since the 1990s. We’ve executed migrations for clients utilizing OpenText, Microsoft, IBM, Paperclip, and more.

Our highly capable team comprehends the unique hurdles that can arise in both current and traditional ECM applications and we’ve fine-tuned our methods over the years as technology has changed. Utilize our proficiency to deploy a prosperous migration and digital transformation.

What Should You Consider When Planning A Data Migration?

Take An Inventory

Take the necessary time to assess what you possess, how it’s classified, the quantity and what groups of information you possess, and any facets you require such as versions, annotations, and protocols.
Clean & Organize

Data migrations are much like moving to a new residence- decide what you want to take with you and what you can get rid of. Perhaps you have data that is obsolete. While combing through your information, take a second to determine places for progress particularly as it pertains to your organizational procedures and metadata.
Test The Migration Process

Next, you should assess your migration and pinpoint a standard to see how drawn-out the migration will be. Also, execute a data alternation analysis to ensure your migration pipeline is snag-free.
Check In Regularly

If you notice that your migration will take longer than anticipated during the criteria evaluating process, be sure to implement regular progress checks during that window and ensure no issues occur. If they do, you can change your timeline.
Validate Your End Result

To make sure that what you end up with in the destination program coincides with what you started with in the source platform, have a acceptance measure in place. If you’ve performed data cleanup during the migration, your validation should be able to justify that.
Account For New Content

Sometimes you can’t make the complete system read-only during a migration, and new information is created. You’ll want to ensure to justify any new metadata and any new information that’s created.
Leverage AI Where Possible

Many programs now offer Artificial Intelligence elements that can automate the data organization part of your migration. Should you choose to use this feature, you can use existing metadata, and improve it with the assistance of your AI tools.